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评估 hsp90 数据库的化学多样性。

Assessing the chemical diversity of an hsp90 database.

机构信息

University Paris-Sud, CNRS, BioCIS UMR 8076, Laboratoire de Chimie Thérapeutique, Faculté de Pharmacie, 5 rue J.-B. Clément, Châtenay-Malabry F-92296, France.

出版信息

Eur J Med Chem. 2010 May;45(5):2000-9. doi: 10.1016/j.ejmech.2010.01.048. Epub 2010 Jan 28.

Abstract

The 90-kDa heat shock protein (hsp90) has emerged as a new, promising target for cancer drug discovery. With the simultaneous disruption of a large range of oncogenic pathways, hsp90 inhibition results in either cytostasis or cell death. Diverse inhibitors of this molecular chaperone are currently under intensive study, and several have reached clinical trials. In the present work, patented and published structure-activity relationships on hsp90 inhibitors were organised in a database format that associates chemical structures with their biological activities. This hsp90 database contains 814 unique structures and, to our knowledge, is the most complete ever reported. With the aim to provide a general overview and evaluation of the chemical diversity of the ligands included in the dataset, a two-dimensional analysis was performed. A set of twenty-five topological molecular descriptors was calculated, allowing the emphasis of those that have higher importance for hsp90 active compounds, and for the three chemical scaffold families, geldanamycins, purines and pyrazole-isoxazoles. We have used a principal-component analysis (PCA) computational approach to analyse the 2D descriptor space of active and non-active hsp90 ligands. Furthermore, a fragment-based study highlighted the most frequently moieties represented in the active purine and pyrazole-isoxazole derivatives that are likely to be responsible for the observed biological activities.

摘要

90kDa 热休克蛋白(hsp90)已成为癌症药物发现的一个新的、有前途的靶点。通过同时破坏大量致癌途径,hsp90 抑制导致细胞停滞或细胞死亡。这种分子伴侣的多种抑制剂目前正在深入研究中,其中一些已经进入临床试验。在本工作中,将 hsp90 抑制剂的专利和已发表的构效关系组织成数据库格式,将化学结构与生物活性相关联。这个 hsp90 数据库包含 814 个独特的结构,据我们所知,这是迄今为止最完整的报告。为了提供数据集配体化学多样性的总体概述和评估,进行了二维分析。计算了一组 25 个拓扑分子描述符,强调了对 hsp90 活性化合物以及geldanamycin、嘌呤和吡唑-异恶唑这三种化学支架家族更重要的那些描述符。我们使用主成分分析(PCA)计算方法来分析活性和非活性 hsp90 配体的 2D 描述符空间。此外,基于片段的研究突出了活性嘌呤和吡唑-异恶唑衍生物中最常出现的部分,这些部分可能是导致观察到的生物活性的原因。

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